Automotive AI Cost & Supply Optimizer
This AI solution uses AI and AutoML to analyze procurement, logistics, and production data across automotive supply chains to minimize total landed and manufacturing costs. It optimizes sourcing under tariffs, predicts costly production errors, and guides sustainable supplier and routing decisions to protect margins while supporting ESG goals.
The Problem
“Your supply chain decisions are bleeding margin because cost, risk, and ESG are siloed”
Organizations face these key challenges:
Procurement, logistics, and production teams each optimize locally, but total landed cost still creeps up
Tariff changes, freight spikes, and supplier disruptions are reacted to weeks or months too late
Quality issues and rework costs are discovered after the fact instead of being predicted and prevented
Sustainability goals conflict with cost targets because there’s no unified, data-driven view of trade-offs
Impact When Solved
Technologies
Technologies commonly used in Automotive AI Cost & Supply Optimizer implementations: